Resource-constrained devices are computing systems with limited processing power, memory, or battery life. These devices, such as IoT sensors or older mobile phones, present challenges for running complex software or demanding network protocols. Optimizing applications for these devices is crucial for broad adoption.
Context
The integration of resource-constrained devices into decentralized networks and blockchain applications is a growing area of interest, particularly for enabling widespread access to digital assets and services. Discussions often revolve around lightweight client implementations, off-chain computation, and efficient data storage solutions. The primary challenge is to provide robust functionality without overwhelming the device’s limited capabilities.
This research pioneers a sublinear-space zero-knowledge prover, transforming ZKP accessibility for resource-constrained environments and expanding verifiable computation applications.
This research introduces a novel OR-aggregation technique, enabling constant-size zero-knowledge proofs for set membership in resource-constrained IoT blockchain environments.
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